Functions — github.com/AI4Science-WestlakeU/wdno

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Functions1,208 in github.com/AI4Science-WestlakeU/wdno

⨍ Functions 1,208◇ Types & classes 150↳ Endpoints 24

Method__init__

(self, *args, **kwargs)

burgers/ddpm_burgers/diffusion_1d.py:657

Method__init__

(self, fn)

burgers/ddpm_burgers/unet.py:19

Method__init__

(self, dim)

burgers/ddpm_burgers/unet.py:48

Method__init__

(self, dim)

burgers/ddpm_burgers/unet.py:56

Method__init__

(self, dim, fn, conv_2d=False)

burgers/ddpm_burgers/unet.py:68

Method__init__

(self, dim, theta = 10000)

burgers/ddpm_burgers/unet.py:83

Method__init__

(self, dim, is_random = False)

burgers/ddpm_burgers/unet.py:114

Method__init__

(self, dim, dim_out, *, time_emb_dim=None, groups=8, conv_2d=False)

burgers/ddpm_burgers/unet.py:151

Method__init__

(self, dim, heads = 4, dim_head = 32, conv_2d = False)

burgers/ddpm_burgers/unet.py:184

Method__init__

(self, dim, heads = 4, dim_head = 32, conv_2d = False)

burgers/ddpm_burgers/unet.py:226

Method__init__

( self, dim, init_dim = None, out_dim = None, dim_mults=(1, 2, 4, 8),

burgers/ddpm_burgers/unet.py:268

Method__init__

( self, dim, init_dim = None, out_dim = None, dim_mults=(1, 2, 4, 8),

burgers/ddpm_burgers/unet.py:419

Method__init__

( self, diffusion_model: GaussianDiffusion, dataset: Dataset, *, is_su

burgers/ddpm_burgers/train_diffusion.py:40

Method__init__

Args: tmin (float): starting time tmax (float): end time grid_size (list): grid points [nt, nx]

burgers/ddpm_burgers/generate_burgers.py:27

Method__init__

Arguments:

burgers/ddpm_burgers/data_burgers_1d.py:218

Method__init__

(self, dataset, batch_size=1, shuffle=True, pin_memory=True, num_workers=1)

burgers/ddpm_burgers/data_burgers_1d.py:244

Method__init__

( self, model, args=None, RESCALER=1, results_path=None, args_

smoke/inference_2d.py:100

:param shape: List or tuple describing the dimensions of the simulation in the order [z, y, x] :param batch_size: the default batch

smoke/phi/flow.py:48

Method__init__

Specify the type of boundary conditions to use at each domain surface. To create a completely open or closed domain, pass True or False, respectivel

smoke/phi/flow.py:378

Method__init__

(self, dir, category, index)

smoke/phi/fluidformat.py:96

Method__init__

(self, name, generator)

smoke/phi/model.py:25

Method__init__

(self, name="Φ-*flow* Application", subtitle="Interactive demo based on PhiF

smoke/phi/model.py:41

Method__init__

(self, name, type, initial_value, category, minmax, is_linear)

smoke/phi/model.py:362

Method__init__

(self, name, initial_value, minmax=None, category=None, log_scale=None)

smoke/phi/model.py:381

Method__init__

(self, name, initial_value, minmax=None, category=None)

smoke/phi/model.py:413

Method__init__

(self, name, initial_value, category=None)

smoke/phi/model.py:426

Method__init__

(self, name, initial_value, category=None, rows=20)

smoke/phi/model.py:432

Method__init__

(self, model, attribute_name, editable_value)

smoke/phi/model.py:442

Method__init__

(self, frame, density, velocity)

smoke/phi/control/control.py:8

Method__init__

(self, ground_truth)

smoke/phi/control/smoke_control.py:16

Method__init__

(self, step_count, operator)

smoke/phi/control/sequences.py:42

Method__init__

(self, step_count, operator)

smoke/phi/control/sequences.py:81

Method__init__

(self, step_count, operator)

smoke/phi/control/sequences.py:92

Method__init__

(self, sim, true_densities, info, force_inference)

smoke/phi/control/iksm.py:199

Method__init__

(self, sim, true_densities, info, force_inference)

smoke/phi/control/iksm.py:268

Method__init__

(self, path, mode="r", index=None)

smoke/phi/control/control_scene.py:7

Method__init__

(self, shape, boundary='open', batch_size=None, session=None, solver=None, **kwargs)

smoke/phi/tf/flow.py:11

Method__init__

(self, name="Network Training", subtitle="Interactive training of a neural network", learning

smoke/phi/tf/model.py:10

Method__init__

(self)

smoke/phi/solver/sparse.py:8

Method__init__

(self)

smoke/phi/solver/spcg.py:7

Method__init__

(self)

smoke/phi/solver/net.py:8

Method__init__

(self, name)

smoke/phi/solver/base.py:32

Method__init__

(self)

smoke/phi/solver/manta.py:10

Method__init__

(self)

smoke/phi/solver/cuda/cuda.py:9

Method__init__

(self, field)

smoke/phi/data/transform.py:7

Method__init__

(self)

smoke/phi/data/data.py:15

Method__init__

(self, name)

smoke/phi/data/data.py:30

Method__init__

(self, input_fields)

smoke/phi/data/data.py:54

Method__init__

(self, selection_function, field)

smoke/phi/data/data.py:64

Method__init__

(self, fields)

smoke/phi/data/data.py:106

Method__init__

(self, transformation, field)

smoke/phi/data/data.py:123

Method__init__

(self, fields, dataset)

smoke/phi/data/data.py:152

Method__init__

(self, fields, dataset)

smoke/phi/data/data.py:196

Method__init__

(self, flags)

smoke/phi/data/data.py:227

Method__init__

(self, scene, indices, flags)

smoke/phi/data/data.py:239

Method__init__

(self, size, fieldname_to_generator_dict, flags)

smoke/phi/data/data.py:260

Method__init__

(self, *datasets)

smoke/phi/data/data.py:299

Method__init__

(self, database, dataset, iterator_generator, cache=True)

smoke/phi/data/data.py:404

Method__init__

(self, batch_iterator, logf=None)

smoke/phi/data/data.py:484

Method__init__

(self, total, batch_size, shuffled, mode)

smoke/phi/data/data.py:571

Method__init__

(self, total, selection)

smoke/phi/data/data.py:610

Method__init__

(self, aug_dimensions, field, affect_flags=(DATAFLAG_TRAIN,))

smoke/phi/data/augment.py:6

Method__init__

(self)

smoke/phi/math/tensorflow_backend.py:10

Method__init__

(self, staggered)

smoke/phi/math/nd.py:326

Method__init__

(self)

smoke/phi/math/base.py:128

Method__init__

(self, msg)

smoke/phi/math/base.py:251

Method__init__

(self)

smoke/phi/math/scipy_backend.py:9

Method__init__

(self, field_sequence_model, display=None, depth=0, batch=0, figure_builder=

smoke/phi/viz/dash_gui.py:15

Method__init__

(self, batches=slice(None), depths=slice(None), staggered=F

smoke/phi/viz/plot.py:18

Method__init__

Args: is_datetime: if True, will print the local date time, e.g. [2021-12-30 13:07:08], as prefix. store_length: numb

smoke/ddpm/utils.py:155

Method__init__

(self, dim)

smoke/ddpm/modules.py:16

Method__init__

(self, dim)

smoke/ddpm/modules.py:30

Method__init__

(self, dim)

smoke/ddpm/modules.py:38

Method__init__

(self, inp_channels, out_channels, kernel_size, n_groups=8)

smoke/ddpm/modules.py:50

Method__init__

(self, fn)

smoke/ddpm/modules.py:69

Method__init__

(self, dim, eps = 1e-5)

smoke/ddpm/modules.py:77

Method__init__

(self, dim)

smoke/ddpm/modules.py:90

Method__init__

(self, dim, heads=4, dim_head=32)

smoke/ddpm/modules.py:112

Method__init__

(self, dim, heads = 4, dim_head = 32)

smoke/ddpm/modules.py:134

Method__init__

(self, weights, action_dim)

smoke/ddpm/modules.py:197

Method__init__

(self, fn)

smoke/ddpm/diffusion_2d.py:68

Method__init__

(self, dim)

smoke/ddpm/diffusion_2d.py:103

Method__init__

(self, dim, fn)

smoke/ddpm/diffusion_2d.py:114

Method__init__

(self, dim)

smoke/ddpm/diffusion_2d.py:126

Method__init__

(self, dim, is_random = False)

smoke/ddpm/diffusion_2d.py:143

Method__init__

(self, dim, dim_out, groups = 8)

smoke/ddpm/diffusion_2d.py:159

Method__init__

(self, dim, dim_out, *, time_emb_dim = None, groups = 8)

smoke/ddpm/diffusion_2d.py:177

Method__init__

(self, dim, heads = 4, dim_head = 32)

smoke/ddpm/diffusion_2d.py:203

Method__init__

(self, dim, heads = 4, dim_head = 32)

smoke/ddpm/diffusion_2d.py:233

Method__init__

( self, dim, init_dim = None, out_dim = None, dim_mults=(1, 2, 4, 8),

smoke/ddpm/diffusion_2d.py:257

Method__init__

( self, model, loss_layer_weight, is_condition_control, is_condition_p

smoke/ddpm/diffusion_2d.py:569

Method__init__

( self, diffusion_model, dataset, dataset_path, *, N_downsampl

smoke/ddpm/diffusion_2d.py:1062

Method__init__

( self, # dataset, dataset_path, wave_type, # bior1.3 / bior2.2 pad_mo

smoke/ddpm/data_2d.py:120

Method__init__

(self, dataset, batch_size=1, shuffle=True, pin_memory=True, num_workers=1)

smoke/ddpm/data_2d.py:225

Method__init__

( self, heads = 8, num_buckets = 32, max_distance = 128 )

smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:68

Method__init__

(self, fn)

smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:125

Method__init__

(self, dim)

smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:133

Method__init__

(self, dim, eps = 1e-5)

smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:153

Method__init__

(self, dim, fn)

smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:164

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